User profile extraction engine
Kleanthis Gatziolis, Anthony Christos Boucouvalas · 2016
The Internet is overwhelmed by a huge amount of information every day and every user has different interests from another. It is therefore important that this information is filtered and sorted according to their preferences. Thus, the profiling systems exploit particularities and preferences of each user and finally they can be studied or used by other applications or humans. This paper analyzes the methods of collecting data (data gathering), and the ways in which this information can be used - filtered so as to create knowledge. A user profile extraction engine is presented and analyzed.